NDLI: A Two-Pass Improved Encoding Scheme for Fractal Image Compression

Content Provider	IEEE Xplore Digital Library
Author	Eugene, K.-W.C. Ong, G.-H.
Copyright Year	2006
Description	Author affiliation: Sch. of Comput., Nat. Univ. of Singapore (Eugene, K.-W.C.; Ong, G.-H.)
Abstract	An improvement scheme, so named the two-pass improved encoding scheme (TIES), for the application to image compression through the extension of the existing concept of fractal image compression (FIC), which capitalizes on the self-similarity within a given image to be compressed, is proposed in this paper. We first briefly explore the existing image compression technology based on FIC, before proceeding to establish the concept behind the TIES algorithm. We then devise an effective encoding and decoding algorithm for the implementation of TIES through the consideration of the domain pool of an image, domain block transformation, scaling and intensity variation, range block approximation using linear combinations, and finally the use of an arithmetic compression algorithm to store the final data as close to source entropy as possible. We then conclude by explicitly comparing the performance of this implementation of the TIES algorithm against that of FIC under the same conditions, in which the TIES algorithm exhibits significantly better compression performance for large images (1024times1024px) compared to the FIC algorithm
Starting Page	214
Ending Page	219
File Size	185054
Page Count	6
File Format	PDF
ISBN	0769526063
DOI	10.1109/CGIV.2006.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-26
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Matching pursuit algorithms Linear approximation Approximation algorithms Fractals Vectors Partitioning algorithms Decoding Compression algorithms Arithmetic
Content Type	Text
Resource Type	Article

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